Numerical approach for solving nonlinear stochastic Itô-Volterra integral equations using shifted Legendre polynomials

R. Zeghdane
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引用次数: 1

Abstract

In this paper, we give a new method for solving stochastic nonlinear Volterra integral equations by using shifted Legendre operational matrix. It is discussed that how the stochastic differential equations (SDE) could numerically be solved as matrix problems. By using this new operational matrix of integration and the so-called collocation method, nonlinear Volterra integral equations is reduced to systems of algebraic equations with unknown Legendre coefficients. Finally, the high accuracy of approximated solutions are illustrated by several experiment.
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用移位勒让德多项式求解非线性随机Itô-Volterra积分方程的数值方法
本文给出了一种利用移位勒让德运算矩阵求解随机非线性Volterra积分方程的新方法。讨论了如何将随机微分方程(SDE)作为矩阵问题进行数值求解。利用这种新的积分运算矩阵和所谓的配置法,将非线性Volterra积分方程简化为具有未知勒让德系数的代数方程组。最后,通过实验验证了近似解的精度。
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来源期刊
CiteScore
0.80
自引率
0.00%
发文量
16
期刊介绍: IJDSDE is a quarterly international journal that publishes original research papers of high quality in all areas related to dynamical systems and differential equations and their applications in biology, economics, engineering, physics, and other related areas of science. Manuscripts concerned with the development and application innovative mathematical tools and methods from dynamical systems and differential equations, are encouraged.
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